Embed, resell, or white-label AI security — OEM, scanner, MSSP, consulting, and reseller tracks are open now
LinkedIn adapter
Compact, public-safe proof text for profile featured items and share cards.
Canonical copy
Forescout Device Cloud Elastic/Kibana Analytics Platform Large-scale connected-device analytics using Forescout Device Cloud, Elastic, Kibana, and security-research workflows to turn millions of device records into report-ready security evidence. Built and executed Elastic/Kibana-style analytics workflows over Forescout Device Cloud data to support security research, sector-specific report findings, connected-device risk analysis, rapid response investigations, and public market education across healthcare, connected medical devices, financial services, OT, IoT, and the Enterprise of Things. Contributed to a Forescout Device Cloud research program spanning healthcare, connected medical devices, financial services, operational technology, and the Enterprise of Things, using large-scale connected-device telemetry and Elastic/Kibana-style analysis to support public research reports, market education, customer conversations, and executive security narratives. Supported multiple Forescout research reports and rapid-response analyses using Device Cloud and Elastic/Kibana workflows.
Public-safe caveat
This case study describes the analytics layer behind multiple Forescout Device Cloud research efforts. Public report-level facts are sourced from Forescout materials where available, while the author's specific Elastic/Kibana contribution is based on user-provided context. Exact queries, dashboards, raw datasets, customer names, internal schemas, proprietary scoring logic, private drafts, and non-public analysis details are omitted unless later confirmed and approved for public use. This case study aggregates Forescout Device Cloud research contribution across multiple 2019–2020 reports. Public report-level facts are sourced from Forescout materials where available, while the author's specific Device Cloud and Elastic/Kibana contribution is based on user-provided context. Exact authorship, internal dashboards, queries, raw datasets, proprietary schemas, customer names, unpublished drafts, and private analysis details are omitted unless later confirmed and approved for public use.